Technical Note: \cal Q-Learning
Machine Learning
Inverse kinematics positioning using nonlinear programming for highly articulated figures
ACM Transactions on Graphics (TOG)
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Efficient generation of motion transitions using spacetime constraints
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Limit cycle control and its application to the animation of balancing and walking
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Motion editing with spacetime constraints
Proceedings of the 1997 symposium on Interactive 3D graphics
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Motion texture: a two-level statistical model for character motion synthesis
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interactive motion generation from examples
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Efficient synthesis of physically valid human motion
ACM SIGGRAPH 2003 Papers
Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces
ACM SIGGRAPH 2004 Papers
Style-based inverse kinematics
ACM SIGGRAPH 2004 Papers
Personalised Real-Time Idle Motion Synthesis
PG '04 Proceedings of the Computer Graphics and Applications, 12th Pacific Conference
Efficient content-based retrieval of motion capture data
ACM SIGGRAPH 2005 Papers
Geostatistical motion interpolation
ACM SIGGRAPH 2005 Papers
Motion templates for automatic classification and retrieval of motion capture data
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Quick transitions with cached multi-way blends
Proceedings of the 2007 symposium on Interactive 3D graphics and games
Constraint-based motion optimization using a statistical dynamic model
ACM SIGGRAPH 2007 papers
SIMBICON: simple biped locomotion control
ACM SIGGRAPH 2007 papers
Construction and optimal search of interpolated motion graphs
ACM SIGGRAPH 2007 papers
Information Retrieval for Music and Motion
Information Retrieval for Music and Motion
Unsupervised hierarchical modeling of locomotion styles
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Automatic construction of a minimum size motion graph
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Synthesis and editing of personalized stylistic human motion
Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games
ACM SIGGRAPH 2010 papers
Motion fields for interactive character locomotion
ACM SIGGRAPH Asia 2010 papers
Proceedings of the ACM Symposium on Applied Perception
Motion graphs++: a compact generative model for semantic motion analysis and synthesis
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
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Objective: This paper proposes a novel framework of Hybrid Motion Graph (HMG) for creating character animations, which enhances the graph-based structural control by motion field representations for efficient motion synthesis of diverse and interactive character animations. Methods: In HMG framework, the motion template of each class is automatically derived from the training motions for capturing the general spatio-temporal characteristics of an entire motion class. Typical motion field for each class is then constructed. The smooth transitions among motion classes are then generated by interpolating the related motion templates with spacetime constraints. Finally, a hybrid motion graph is built by integrating the separate motion fields for each motion class into the global structural control of motion graph through smooth transition. Results: In motion synthesis stage, a character may freely 'switch' among different motion classes in the hybrid motion graph via smooth transitions between motion templates and 'flow' within each class through the continuous space of motion field with agile and the continuous control process. Conclusion: Experimental results show that our framework realizes the fast connectivity among different motion classes and high responsiveness and interactivity for creating realistic character animation of rich behaviors with limited motion data and computational resources.